Jonathan Barnhoorn

Netherlands Organisation for Applied Scientific Research

Papers

Total Citations

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About

Jonathan Barnhoorn is a researcher at the forefront of human-machine teaming, with a focused expertise in delegation dynamics within collaborative AI systems. His most-cited work, "Delegation in Human-Machine Teaming: Progress, Challenges and Prospects" (2021), has garnered 9 citations, establishing a foundational framework for understanding how humans and autonomous agents can effectively share control and decision-making responsibilities. Barnhoorn’s contributions critically map the progress made in this domain, identify persistent challenges such as trust calibration and transparency, and outline promising avenues for future research. His work is particularly notable for bridging theoretical models with practical design considerations, offering actionable insights for engineers and policymakers developing next-generation human-AI teams. By systematically analyzing delegation mechanisms, Barnhoorn has helped clarify how to optimize performance and safety in high-stakes environments, from autonomous vehicles to military operations. His research continues to shape the discourse on human-autonomy interaction, making him a key voice for students and researchers seeking to understand the evolving partnership between humans and intelligent machines.